Results 21 to 30 of about 5,267,034 (238)
Research on wear of Ni-Cr alloy milling based on residual network
Advances in Mechanical Engineering, 2022 With the development of the manufacturing industry and information technology, the quality requirements of products are getting higher and higher. A cutting tool is one of the important factors affecting product quality, so it is of great significance to
Shengming Cheng +3 more
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Application of deep learning in recognition of accrued earnings management
Heliyon, 2023 We choose the sample data in Chinese capital market to compare the measurement effect of earnings management with Deep Belief Network, Deep Convolution Generative Adversarial Network, Generalized Regression Neural Network and modified Jones model by ...
Jia Li, Zhoutianyang Sun
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U-Net Pulmonary Nodule Detection Algorithm Based on Multi-scale Feature Structure [PDF]
Jisuanji gongcheng, 2019 Aiming at the defect problem in the low-level characteristics of pulmonary nodules in the process of network transmission,an improved U-Net convolution neural network algorithm based on multi-scale feature structure for pulmonary nodule detection is ...
ZHU Hui,QIN Pinle
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Rotational invariant fractional derivative filters for lung tissue classification
IET Image Processing, 2021 A new and powerful rotation invariant fractional derivative convolution neural network model is proposed for the classification of five categories of interstitial lung diseases.
V. N. Sukanya Doddavarapu +2 more
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Review of deep convolution neural network in image classification [PDF]
, 2017 With the development of large data age, Convolutional neural networks (CNNs) with more hidden layers have more complex network structure and more powerful feature learning and feature expression abilities than traditional machine learning methods.
Mohammed, Ahmed Talab +2 more
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Frontiers in Materials, 2021 This paper proposes a novel neural network architecture and its ensembles to predict the critical superconductivity temperature of materials based on their chemical formula.
Dmitry Viatkin +4 more
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Selective kernel networks for weakly supervised relation extraction
CAAI Transactions on Intelligence Technology, 2021 The purpose of relation extraction is to identify the semantic relations between entities in sentences that contain two entities. Recently, many variants of the convolution neural network (CNN) have been introduced to relation extraction for the ...
Ziyang Li +4 more
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BLIND RESTORATION USING CONVOLUTION NEURAL NETWORK
Iraqi Journal of Information & Communication Technology, 2021 Image restoration is a branch of image processing that involves a mathematical deterioration and restoration model to restore an original image from a degraded image.
Meryem H. Muhson, Ayad A. Al-Ani
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Polar codes decoding algorithm based on convolutional neural network
Dianxin kexue, 2020 In order to solve the problem that the existing Polar code decoding algorithm based on neural network can only decode short codewords (codewords length N≤64),a new decoding algorithm using convolution neural network for long codewords (N≥512) was put ...
Rui GUO, Fanchun RAN
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Convolution semigroups of states. [PDF]
, 2011 Convolution semigroups of states on a quantum group form the natural noncommutative analogue of convolution semigroups of probability measures on a locally compact group.
Lindsay, Martin, Skalski, Adam G.
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